Paper Citation Record · LEDGER

Disentangling Adaptive Gradient Methods from Learning Rates

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2002.11803.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2002.11803 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:10:06.894473Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T02:06:26.401747Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 582a86a0-fd6c-4ea8-b92a-5d0679058bde · inbound

Gradient Methods with Online Scaling Part I. Theoretical Foundations cites this paper.

Gradient Methods with Online Scaling Part I. Theoretical Foundations Disentangling Adaptive Gradient Methods from Learning Rates

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T13:10:06.894473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a21bd626-5831-4ece-acb5-d4840f36f7b9 · inbound

Is your batch size the problem? Revisiting the Adam-SGD gap in language modeling cites this paper.

Is your batch size the problem? Revisiting the Adam-SGD gap in language modeling Disentangling Adaptive Gradient Methods from Learning Rates

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T00:50:29.766980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62632e78-14e8-4969-83a4-bddf8105f172 · inbound

Understanding and Improving Shampoo and SOAP via Kullback-Leibler Minimization cites this paper.

Understanding and Improving Shampoo and SOAP via Kullback-Leibler Minimization Disentangling Adaptive Gradient Methods from Learning Rates

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T11:03:35.039673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8d34e6a-b4de-43e2-ae92-7328937188ef · inbound

FOAM: Frequency and Operator Error-Based Adaptive Damping Method for Reducing Staleness-Oriented Error for Shampoo cites this paper.

FOAM: Frequency and Operator Error-Based Adaptive Damping Method for Reducing Staleness-Oriented Error for Shampoo Disentangling Adaptive Gradient Methods from Learning Rates

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:06:16.039069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1e39e7cc-0d51-4227-aac6-8f11a2e7ad7c · inbound

Spectral Scaling Laws of Muon cites this paper.

Spectral Scaling Laws of Muon Disentangling Adaptive Gradient Methods from Learning Rates

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:06:26.403597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 38fc84e2-20b4-4c7b-9f19-88a7c61e6d59 · inbound

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning cites this paper.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Disentangling Adaptive Gradient Methods from Learning Rates

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T05:39:21.617424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.